Wang Rongxi, Liu Shangbin, Zhang Kechun, Hu Tian, Li Xinyi, Yan Yuzhong, Li Ming, Zou Huachun, Cai Yong
Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhouyuan Road, Shanghai, 201318, China.
Public Health department, Tongren Hospital, Hongqiao International Institute of Medicine, Shanghai Jiao Tong University School of Medicine, Xianxia Road, No.1111, Shanghai, 200336, China.
BMC Public Health. 2025 Aug 4;25(1):2644. doi: 10.1186/s12889-025-23819-5.
Internal migrant workers have been experiencing increasing psychological problems recently. This study investigated the interplay between depressive and anxiety symptoms and their association with suicidal ideation among migrant industrial workers, using a network analysis approach.
Cross-sectional data from 1792 participants were collected using self-reported scales for depressive and anxiety symptoms in Shenzhen, China. Network analysis was adopted to reveal key symptoms and their connections within the network.
The detected rates of depressive and anxiety symptoms were 40.3% (95%CI: 38.1%42.6%) and 29.0% (95% CI: 27%31.2%), respectively. The reported rate of suicidal ideation was 7.9% (95% CI: 6.7%~9.2%). The top ten strongest edges in the model were observed within depression and anxiety domains. "Being so restless that it is hard to sit still", "Feeling blue" and "Trouble relaxing" were central to the network, while "Feeling nervous, anxious or on edge" and "Sleep disturbance" acted as bridge symptoms in the network. The strongest direct relation to suicidal ideation was anxiety symptom A2 "Unable to stop or control worrying".
Findings highlight the interconnected nature of depressive and anxiety symptoms and how these symptoms related to suicidal ideation, thus providing insights for targeted interventions to improve mental well-being among migrant industrial workers in Shenzhen. Intervention strategies focusing on the most influential symptoms such as "restlessness" and "feeling blue" may yield better effectiveness.
近年来，农民工的心理问题日益增多。本研究采用网络分析方法，调查了农民工抑郁症状和焦虑症状之间的相互作用及其与自杀意念的关联。
采用自陈式抑郁和焦虑症状量表，收集了来自中国深圳1792名参与者的横断面数据。采用网络分析揭示网络中的关键症状及其联系。
抑郁症状和焦虑症状的检出率分别为40.3%（95%CI：38.1%42.6%）和29.0%（95%CI：27%31.2%）。自杀意念报告率为7.9%（95%CI：6.7%~9.2%）。模型中最强的十条边出现在抑郁和焦虑领域内。“坐立不安”“情绪低落”和“难以放松”是网络的核心，而“感到紧张、焦虑或不安”和“睡眠障碍”在网络中起桥梁症状的作用。与自杀意念最直接相关的是焦虑症状A2“无法停止或控制担忧”。
研究结果突出了抑郁症状和焦虑症状的相互联系性质，以及这些症状与自杀意念的关系，从而为改善深圳农民工心理健康的针对性干预提供了见解。针对“坐立不安”和“情绪低落”等最具影响力症状的干预策略可能会产生更好的效果。
